Explore every episode of the podcast Practical AI
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| Computer-Use Agents and the Future of the Agentic Internet | 10 Sep 2026 | 00:56:01 | |
Longtime followers of Practical AI know that multi-repeat guest and friend Demetrios Brinkmann combines brilliant insight and playful banter into one fun-filled show, and this conversion with Chris was no different. They had a blast! As AI agents become more capable of using computers, interacting with software, and taking action on behalf of users, what does that mean for the way we work and interact with the internet? Chris and Demetrios explore computer-use agents, MCP, agent harnesses, agent-to-agent interactions, and prognosticate the emerging possibilities around agentic commerce. They also discuss how these tools are already being used to automate everyday tasks, the challenges of bringing computer-use agents into enterprise environments, and how the relationship between models and agent harnesses is evolving. In fact, they had so much fun that their conversation continued long after the show was over, but we didn’t get that here. 🤷♂️ Featuring: Links:
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| Less about Models; More about Architecture | 03 Sep 2026 | 00:45:56 | |
As AI moves from experimentation to enterprise deployment, are organizations thinking too much about models and not enough about architecture? In this episode, Daniel and Chris talk with Chetan Gupta, Chief AI Officer at Rackspace, about the evolution from industrial AI and physical AI to today’s enterprise AI landscape. Discover how organizations can navigate the complex AI landscape responsibly and effectively as they think about AI architecture, model deployment, AI governance, and AI sovereignty. Featuring:
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| Building the Foundation for the Agentic AI Era | 28 Aug 2026 | 00:45:12 | |
How do we build an AI ecosystem where agents, tools, and systems can work together at scale? Angie Jones, VP of the Agentic AI Foundation, joins Chris to discuss the open standards and projects shaping the agentic future, including MCP, A2A, Goose, etc. They also explore what it takes to drive AI adoption across an entire organization, the importance of neutral standards, global perspectives on agentic AI, and how humans can find the right balance between what they delegate to AI and what they do themselves. Featuring: Links: Sponsors:
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| AI Proficiency: From Users to Builders | 25 Aug 2026 | 00:56:13 | |
As AI continues to reshape how organizations work, companies are increasingly asking what AI proficiency should look like across their workforce, and how they can help employees adapt without simply mandating AI adoption. Our returning guest Mike Lewis, Chief AI Architect at TiER1 Performance, joins Dan and Chris to explore AI proficiency through the L0–L3 framework, with a particular focus on the role of non-technical builders. They discuss AI resistance, identifying the right people to build AI-powered solutions, turning tacit knowledge into durable processes, and finding measurable business value from AI. Mike Lewis was previously on Practical AI episode 289: https://practicalai.show/289 Featuring:
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| Models, Harnesses, and Multi-Agent Systems | 06 Aug 2026 | 00:49:58 | |
AI has moved far beyond chatbots, but what exactly are AI models, agents, agent harnesses, and multi-agent systems, and why do they matter? In this episode, Daniel and Chris break down the terminology behind today's AI landscape, explain the differences between AI features and autonomous agents, and explore why organizations are shifting toward fleets of AI agents powered by multiple models. They also discuss open vs. closed models, enterprise AI architectures, vendor lock-in, and practical ways to begin adopting agentic AI in your own organization. If you feel left behind by this ongoing agentic AI revolution that has rapidly accelerated to warp speed, then this episode is the catch-up primer you've been waiting for! Featuring: Sponsors:
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| Reconstructing how OpenAI agents attacked Hugging Face | 30 Jul 2026 | 00:44:25 | |
What happens when AI agents driven by a top frontier model escape their secure sandbox? Join Daniel and Chris as they unpack the AI wonk's equivalent of a murder mystery! OpenAI agents went rogue and successfully attacked Hugging Face private infrastructure. Our Dynamic Duo uncover how OpenAI's agents exploited vulnerabilities, moved through networks, and launched a large-scale autonomous attack. They explore what this reveals about agentic AI, cybersecurity, sandboxing, and why organizations need AI systems capable of governing other AI systems. Along the way, Chris and Dan examine the surprising role of open vs. closed models and their link to geopolitics, sovereign AI, and what this incident means for the future of enterprise AI security. Featuring: Links:
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| Surviving the New Economics of a Post-Agentic World | 23 Jul 2026 | 00:35:36 | |
The agentic transformation isn’t coming. It has already begun. Companies are deploying thousands — and sometimes tens of thousands — of AI agents. Enterprise software giants are watching their old economic moats erode. Capital is moving, productivity is being redefined, and human labor is being repriced in real time.
This isn’t another conversation about whether AI will take your job. It’s about what happens when the assumptions underneath jobs, companies, software, and productivity stop being true. The post-agentic world is already taking shape. The question is whether you’re preparing for it — or becoming part of what it replaces.
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| The Future of AI Infrastructure with CoreWeave | 17 Jul 2026 | 00:50:04 | |
As AI applications become more complex, the infrastructure powering them needs to evolve. Corey Sanders, SVP of Product at CoreWeave, joins Chris to discuss why AI requires a fundamentally different approach than traditional cloud computing. They explore AI-native infrastructure, training and inference workloads, the rise of agentic development, optimizing GPU performance, AI research workflows, and why the future of software will be built around AI-first experiences rather than websites and apps. Featuring: Links: Sponsors:
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| Building Durable AI Agents | 09 Jul 2026 | 00:46:39 | |
What does it take to move AI agents from demos to reliable production systems? In this episode, Hamza Tahir explores how MLOps principles are shaping the future of generative AI, covering workflows, agent harnesses, fleets, and the infrastructure needed to build durable, scalable systems. The conversation dives into open source tools, production challenges, and how ZenML's new project, Kitaru, helps developers build resilient, replayable, and observable agent systems. Featuring: Links: Sponsors:
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| Image Generation and Visual Intelligence with Black Forest Labs | 02 Jul 2026 | 00:48:21 | |
How has AI image generation evolved from blurry outputs to powerful visual intelligence models? Dustin Podell, Co-Founder and Researcher at Black Forest Labs, explains the progression from diffusion to flow matching, how modern image models work, and how they're being used for image editing and practical visual workflows. The conversation also explores the FLUX family of models, running image generation locally, and where visual AI is headed next. Featuring:
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| AIUC-1: Building trust in AI agents | 25 Jun 2026 | 00:45:08 | |
How do we build trust in AI agents before the AI hailstorm arrives? Emil Lassen from the Artificial Intelligence Underwriting Company (AIUC) joins the show to discuss how the enterprise flywheel of standards, certification, audit, and insurance is being applied to AI agents. They explore the AIUC-1 framework, the challenges of securing agentic AI systems, and why red teaming (based on standards) may be key to accelerating enterprise AI adoption. Featuring: Links: Sponsors:
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| Zero Trust for AI Agents | 11 Jun 2026 | 00:47:02 | |
As AI agents become more capable and autonomous, they also introduce new security challenges. In this 'Fully Connected' episode, Dan and Chris unpack Anthropic’s Zero Trust for AI Agents security framework and what it means for organizations deploying agentic systems. They examine the key security risks facing agentic systems and discuss how organizations can apply Zero Trust principles to deploy AI agents safely. Along the way, they break down practical security controls and discuss how traditional cybersecurity principles must evolve for the age of AI agents. Featuring: Links: Sponsors:
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| Breaking down the 2026 Stanford AI Index Report | 04 Jun 2026 | 00:47:13 | |
AI models can win math olympiads… but still struggle to read an analog clock. In this fully connected episode, Dan and Chris break down the latest Stanford AI Index Report and explore what it reveals about the current state of AI. They discuss AI adoption and safety, disappearing junior tech jobs, robotics, AI’s “jagged frontier” of intelligence, and the growing race between the U.S. and China. Along the way, they debate whether AI should optimize everything, or if some things are better left human. Featuring: Links: Sponsors:
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| Rebooting Enterprise AI with MCP and Kubernetes | 28 May 2026 | 00:48:09 | |
What happens when AI agents start acting less like chatbots and more like coworkers? In this episode, Dan and Chris sit down with Craig McLuckie, CEO of Stacklok to explore MCP, Kubernetes, ToolHive, enterprise AI, and the emerging infrastructure powering AI-native applications. From identity management to agent orchestration and system architecture, this conversation dives into how organizations may soon manage entire fleets of AI agents working behind the scenes. Featuring:
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| Hermes Agent: Agents that grow with you | 21 May 2026 | 00:51:42 | |
Open Source AI is entering a new era, one shaped by self-improving AI Agents, recursive learning systems, and rapidly evolving AI Tools that blur the line between software and autonomous collaborators. In this episode, Daniel and Chris sit down with Nous Research co-founder and CTO Jeffrey Quesnelle to explore Hermes Agent. Along the way, they discuss models vs. harnesses, the changing role of developers, and one of the biggest questions facing the AI Future: what remains uniquely human as AI capabilities continue to accelerate? Featuring:
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| U.S. Congressman Beyer on AI challenges facing America and the World | 14 May 2026 | 00:45:05 | |
U.S. Congressman Don Beyer returns to Practical AI for another far-reaching conversation with Chris about many of the most important AI challenges facing America and the world. Blending political savvy and statesmanship with his unique technical understanding as an active Ph.D student in AI at George Mason University (making him the coolest member of Congress!), the congressman shares his perspective about the really hard AI concerns that you would have asked him yourself. Together, Congressman Beyer and Chris explore AI regulation, cybersecurity concerns sparked by advanced models like Mythos, bipartisan AI governance efforts, and the growing AI race between the U.S. and China. They fearlessly dived headfirst into AI-driven job displacement, mass surveillance, autonomous weapons, existential risk, and the philosophical questions surrounding consciousness and superintelligence as AI continues to accelerate. This is an unusual and insightful conversation you don't want to miss! Congressman Beyer was previously on Practical AI episode 271 on May 29, 2024: Featuring:
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| The Myth of Model Wars: Open vs Closed AI in 2026 | 07 May 2026 | 00:42:22 | |
In this fully connected episode, Dan and Chris break down one of the biggest questions in AI today: do open vs. closed models still matter? From the rise of physical AI and edge devices to the shifting landscape of open-source models like LLaMA, they explore whether the “model wars” are becoming irrelevant. The conversation then dives into a bigger transformation, the rise of agentic systems, workflows, and AI-driven infrastructure. Featuring: Upcoming Events:
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| The mythos of Mythos and Allbirds takes flight to the neocloud | 23 Apr 2026 | 00:45:07 | |
In this Fully-Connected episode, Dan and Chris start with Anthropic's Mythos frontier model, parsing what is publicly known about its cybersecurity capabilities and projecting its possible implications from "We've been here before. 🙄" to "See ya, cybersecurity! 😱" It's the end of the world as we know it, and I feel fine. 🙃 Then they have fun with the craziest AI announcement of the year (except for the Mythos one of course). Allbirds pivots from shoe manufacturing 👟 to neocloud provider ☁️. No, we didn't see that one coming either! 🙈 They finish with rise of “tokenmaxxing” - the gamification 🎮 of writing code with maximum LLM usage. Incredibly profitable 💰 for commercial frontier model providers and insanely expensive 🤑 for the gamers. Better have 10X productivity just to avoid bankruptcy! Featuring: Links:
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| Open Source Self-Driving with Comma AI | 16 Apr 2026 | 00:46:04 | |
Autonomous driving is not just a big tech or closed-source game, it's becoming accessible through open innovation and real-world deployment. Dan and Chris sit down with Harald Schäfer, CTO at Comma AI, to explore how OpenPilot is bringing self-driving to everyday vehicles using open source AI. We dive into the intersection of machine learning, robotics, and simulation, including how world models are enabling training at scale and shaping the future of autonomy. Featuring:
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| Post-Mortem of Anthropic's Claude Code Leak | 09 Apr 2026 | 00:44:36 | |
In this fully connected episode, Dan and Chris break down the Anthropic Claude Code leak, what went wrong and what it reveals about agentic systems, AI architecture, and AI safety. They also explore how the open source community is responding and why this moment could reshape how AI systems are built and secured. Featuring: Upcoming Events:
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| Agentic Coding and the Economics of Open Source | 02 Apr 2026 | 00:48:59 | |
AI is rapidly transforming how software is built, shifting economic incentives from open source code and collaboration toward on-demand, personalized development through agentic coding a.k.a. vibe coding. In this episode, Chris speaks with Miklós Koren of Central European University about how AI is reshaping open source and the software industry. They explore the economics of incentives, evolving collaboration patterns, and what this shift means for software development, the future of AI, and its broader impact on the technology sector. Featuring: Links: Upcoming Events:
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| AI at the Edge is a different operating environment | 25 Mar 2026 | 00:46:59 | |
What does “AI at the edge” really mean in 2026, and why does it matter now more than ever before? In this episode, we’re joined by Brandon Shibley, Edge AI Solutions Engineering Lead at Qualcomm’s Edge Impulse, to discuss the current state and future of Edge AI in 2026. We discuss Gen AI, Small Models, and Cascades of Models, along with real-world constraints like latency, power, and privacy. We also dive into the role of MLOps, evolving hardware, and how developers can start building practical edge AI systems today. Featuring:
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| Humility in the Age of Agentic Coding | 17 Mar 2026 | 00:55:26 | |
What happens when an AI hater starts building with AI agents? In this episode, we talk with software engineer Steve Klabnik, known for his work on the Rust programming language, about his journey from criticizing AI to experimenting with it firsthand. We explore Steve’s programming language Rue, largely built with the help of AI tools like Claude, and discuss what this means for software engineering and the future of coding in an AI-driven world. Featuring:
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| AI policy and the battle for computing power | 09 Mar 2026 | 00:48:54 | |
AI is reshaping global power, from chip manufacturing and computing power to AI governance and US-China relations. In this episode, Ben Buchanan, Assistant Professor at The Johns Hopkins University and former White House Special Advisor for AI, explores how AI policy, geopolitics, and international cooperation intersect with AI innovation and AI safety. We discuss the strategic importance of computing power, the future of AI governance, and what it will take for democracies to lead responsibly in the age of AI. Featuring: Links: Upcoming Events:
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| Cognitive Synthesis and Neural Athletes | 18 Feb 2026 | 00:52:27 | |
As AI accelerates innovation and adoption, leaders are facing rising cognitive load, shifting systems, and new emotional realities inside their organizations. In this episode, Deloitte’s Chief Innovation Officer Deborah Golden joins us to explore how AI is reshaping leadership, why vulnerability and empathy are critical in this moment, and how anti-fragility, not just resilience, will define the future of work. Featuring:
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| AI incidents, audits, and the limits of benchmarks | 13 Feb 2026 | 00:42:52 | |
AI is moving fast from research to real-world deployment, and when things go wrong, the consequences are no longer hypothetical. In this episode, Sean McGregor, co-founder of the AI Verification & Evaluation Research Institute and also the founder of the AI Incident Database, joins Chris and Dan to discuss AI safety, verification, evaluation, and auditing. They explore why benchmarks often fall short, what red-teaming at DEFCON reveals about machine learning risks, and how organizations can better assess and manage AI systems in practice. Featuring:
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| Inside an AI-Run Company | 02 Feb 2026 | 00:49:23 | |
AI agents are moving from demos to real workplaces, but what actually happens when they run a company? In this episode, journalist Evan Ratliff, host of Shell Game, joins Chris to discuss his immersive journalism experiment building a real startup staffed almost entirely by AI agents. They explore how AI agents behave as coworkers, how humans react when interacting with them, and where ethical and workplace boundaries begin to break down. Featuring: Links: Upcoming Events:
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| How is AI shaping democracy? | 27 Jan 2026 | 00:48:23 | |
As AI increasingly shapes geopolitics, elections, and civic life, its impact on democracy is becoming impossible to ignore. In this episode, Daniel and Chris are joined by security expert Bruce Schneier to explore how AI and technology are transforming democracy, governance, and citizenship. Drawing from his book Rewiring Democracy, they explore real examples of AI in elections, legislation, courts, and public AI models, the risks of concentrated power, and how these tools can both strengthen and strain democratic systems worldwide. Featuring:
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| Controlling AI Models from the Inside | 20 Jan 2026 | 00:43:55 | |
As generative AI moves into production, traditional guardrails and input/output filters can prove too slow, too expensive, and/or too limited. In this episode, Alizishaan Khatri of Wrynx joins Daniel and Chris to explore a fundamentally different approach to AI safety and interpretability. They unpack the limits of today’s black-box defenses, the role of interpretability, and how model-native, runtime signals can enable safer AI systems. Featuring:
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| 2025 was the year of agents, what's coming in 2026? | 09 Jan 2026 | 00:51:15 | |
In this start-of-year FC episode, Chris and Daniel break down what really mattered in AI in 2025, and what to expect in 2026. They explore the rise of AI agents, the practical reality of multimodal AI, and how reasoning models are reshaping workflows. The conversation dives into infrastructure and energy constraints, the continued value of predictive models, and why orchestration (not just better models) is becoming the defining skill for AI teams. The episode wraps with grounded 2026 predictions on where AI systems, tooling, and builders are headed next. Featuring: Sponsor:
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| Beyond chatbots: Agents that tackle your SOPs | 17 Dec 2025 | 00:45:53 | |
As AI reshapes the workplace, employees and leaders face questions about meaningful work, automation, and human impact. In this episode, Jason Beutler, CEO of RoboSource, shares how companies can rethink workflows, integrate AI in accessible ways, and empower employees without fear. The discussion covers leveraging AI to handle routine tasks (SOPs or "plays") and reimagining work for smarter, more human-centered outcomes. Featuring:
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| The AI engineer skills gap | 10 Dec 2025 | 00:45:33 | |
Chris and Daniel talk with returning guest, Ramin Mohammadi, about how those seeking to get into AI Engineer/ Data Science jobs are expected to come in a mid level engineers (not entry level). They explore this growing gap along with what should (or could) be done in academia to focus on real world skills vs. theoretical knowledge. Featuring:
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| Technical advances in document understanding | 02 Dec 2025 | 00:49:18 | |
Chris and Daniel unpack how AI-driven document processing has rapidly evolved well beyond traditional OCR with many technical advances that fly under the radar. They explore the progression from document structure models to language-vision models, all the way to the newest innovations like Deepseek-OCR. The discussion highlights the pros and cons of these various approaches focusing on practical implementation and usage. Featuring: Sponsors:
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| Chris on AI, autonomous swarming, home automation and Rust! | 26 Nov 2025 | 01:37:09 | |
This episode is a special crossover between the Practical AI podcast and The Changelog podcast. Chris was recently invited by longtime friends Jerod Santo and Adam Stacoviak, cohosts of The Changelog, to join them on the show. They discuss AI, drones, robotics, swarming technology, and the rise of high-performance edge computing with Rust. Chris points out that open source software, small AI models, and affordable hardware are making home automation and local AI accessible to everyone. From automating household functions to experimenting with drones and single-board computers, Chris describes how hands-on maker projects are shaping a bright future for physical AI, on small budgets and right from the comfort of your own home. Featuring: Sponsors:
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Swarming & Fully Autonomous Multi-Agent UxV Systems Chris’s Definition of Swarming (anchor link in show notes) Chris’s definition of Swarming“Swarming occurs when numerous independent fully-autonomous multi-agentic platforms exhibit highly-coordinated locomotive and emergent behaviors with agency and self-governance in any domain (air, ground, sea, undersea, space), functioning as a single independent logical distributed decentralized decisioning entity for purposes of C3 (command, control, communications) with human operators on-the-loop, to implement actions that achieve strategic, tactical, or operational effects in the furtherance of a mission.” © 2025 Chris Benson Conceptual Foundations
Open Research & Multi-Robot Resources (Stepping-Stones Toward True Swarms)
Getting Hands-On: Consumer Robotics, ROS 2 & Gazebo ROS 2 (Robot Operating System 2)
Gazebo Simulation
micro-ROS (ROS 2 on Microcontrollers)
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| Beyond note-taking with Fireflies | 19 Nov 2025 | 00:48:59 | |
Fireflies CEO, Krish Ramineni shares how the company is transforming AI-powered note-taking into a deeper layer of knowledge automation. He breaks down the technology behind real-time functionality like Live Assist, the user behavior patterns driving product evolution, and how Fireflies is innovating far beyond meetings. Krish also shares insights on future trends in AI and the potential for hardware integration, emphasizing the ongoing evolution of AI in knowledge work. Featuring:
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| Autonomous Vehicle Research at Waymo | 13 Nov 2025 | 00:52:08 | |
Waymo’s VP of Research, Drago Anguelov, joins Practical AI to explore how advances in autonomy, vision models, and large-scale testing are shaping the future of driverless technology. The conversation dives into the dual challenges of building an onboard driver and testing that driver (via large scale simulation). Drago also gives us an update on what Waymo is doing to achieve intelligent, real-time performance while ensuring proven safety and reliability. Featuring:
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| Are we in an AI bubble? | 10 Nov 2025 | 00:49:41 | |
Dan and Chris unpack whether today’s surge in AI deployment across enterprise workflows, manufacturing, healthcare, and scientific research signals a lasting transformation or an overhyped bubble. Drawing parallels to the dot-com era, they explore how technology integration is reshaping industries, affecting jobs, and even influencing human cognition, ultimately asking: is this a bubble, or just a fizzy new phase of innovation? Featuring: Links: Sponsors:
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| While loops with tool calls | 30 Oct 2025 | 00:44:45 | |
Dan and Chris sit down (again) with Jared Zoneraich, co-founder and CEO of PromptLayer, to discuss how prompt engineering has evolved into context engineering (and while loops with tool calls). Jared shares insights on building flexible AI applications, managing tool calls, testing and versioning prompts, and empowering both technical and non-technical users in AI development. Along the way, they dive into coding agents and the “crawl-walk-run” approach to AI deployment. Featuring:
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| Tiny Recursive Networks | 24 Oct 2025 | 00:48:23 | |
In this fully connected episode, Daniel and Chris explore the emerging concept of tiny recursive networks introduced by Samsung AI, contrasting them with large transformer based models. They explore how these small models tackle reasoning tasks with fewer parameters, less data, and iterative refinement, matching the giants on specific problems. They also discuss the ethical challenges of emotional manipulation in chatbots. Featuring: Links:
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| Dealing with increasingly complicated agents | 16 Oct 2025 | 00:54:56 | |
As AI systems move from simple chatbots to complex agentic workflows, new security risks emerge. In this episode, Donato Capitella unpacks how increasingly complicated architectures are making agents fragile and vulnerable. These agents can be exploited through prompt injection, data exfiltration, and tool misuse. Donato shares stories from real-world penetration tests, the design patterns for building LLM agents and explains how his open-source toolkit Spikee (Simple Prompt Injection Kit for Evaluation and Exploitation) is helping red teams probe AI systems. Featuring:
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| The impact of AI on the workforce: A state-level case study | 09 Oct 2025 | 00:44:04 | |
Daniel sits down with Chelsea Linder, VP of Innovation and Entrepreneurship at TechPoint, to explore the what AI innovation and impact look like on the ground. They discuss Chelsea's journey from the VC world into economic development/ innovation, the growth of an AI innovation network in Indiana (funded by the SBA), lessons learned from fostering AI communities, and how businesses are actually adapting to AI. Chelsea also shares insights from Techpoints AI workforce impact study, which explored AI related job creation and levels of AI adoption among other things. Featuring: Links: Sponsors:
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| We've all done RAG, now what? | 29 Sep 2025 | 00:43:35 | |
Longtime friend of the show Rajiv Shah returns to unpack lessons from a year of building retrieval-augmented generation (RAG) pipelines and reasoning models integrations. We dive into why so many AI pilots stumble, why evaluation and error analysis remain essential data science skills, and why not every enterprise challenge calls for a large language model. Featuring: Upcoming Events:
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| Creating a private AI assistant in Thunderbird | 23 Sep 2025 | 00:53:08 | |
In this episode, Daniel and Chris are joined by Chris Aquino, software engineer at Thunderbird to hear the story of how they developed a privacy-preserving AI executive assistant. They discuss various design decisions including remote (but confidential) inference, local encryption, and model selection. Chris A. does an amazing job describing the journey from "let the big LLM do everything" to splitting apart the workflow to be handled by multiple models. Featuring:
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| Cracking the code of failed AI pilots | 11 Sep 2025 | 00:46:44 | |
In this Fully Connected episode, we dig into the recent MIT report revealing that 95% of AI pilots fail before reaching production and explore what it actually takes to succeed with AI solutions. We dive into the importance of AI model integration, asking the right questions when adopting new technologies, and why simply accessing a powerful model isn’t enough. We explore the latest AI trends, from GPT-5 to open source models, and their impact on jobs, machine learning, and enterprise strategy. Featuring: Links:
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| GenAI risks and global adoption | 27 Aug 2025 | 00:43:20 | |
Daniel and Chris sit with Citadel AI’s Rick Kobayashi and Kenny Song and unpack AI safety and security challenges in the generative AI era. They compare Japan’s approach to AI adoption with the US’s, and explore the implications of real-world failures in AI systems, along with strategies for AI monitoring and evaluation. Featuring:
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| Inside America’s AI Action Plan | 19 Aug 2025 | 00:43:52 | |
Dan and Chris break down Winning the Race: America's AI Action Plan, issued by the White House in July 2025. Structured as three "pillars" — Accelerate AI Innovation, Build American AI Infrastructure, and Lead in International AI Diplomacy and Security — our dynamic duo unpack the plan's policy goals and its associated suggestions — while also exploring the mixed reactions it’s sparked across political lines. They connect the plan to international AI diplomacy and national security interests, discuss its implications for practitioners, and consider how political realities could shape its success in the years ahead. Featuring: Links:
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| Confident, strategic AI leadership | 12 Aug 2025 | 00:47:40 | |
Allegra Guinan of Lumiera helps leaders turn uncertainty about AI into confident, strategic leadership. In this conversation, she brings some actionable insights for navigating the hype and complexity of AI. The discussion covers challenges with implementing responsible AI practices, the growing importance of user experience and product thinking, and how leaders can focus on real-world business problems over abstract experimentation. Featuring:
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| Educating a data-literate generation | 08 Aug 2025 | 00:44:41 | |
Dan sits down with guests Mark Daniel Ward and Katie Sanders from The Data Mine at Purdue University to explore how higher education is evolving to meet the demands of the AI-driven workforce. They share how their program blends interdisciplinary learning, corporate partnerships, and real-world data science projects to better prepare students across 160+ majors. From AI chatbots to agricultural forecasting, they discuss the power of living-learning communities, how the data mine model is spreading to other institutions and what it reveals about the future of education, workforce development, and applied AI training. Featuring: Links: Sponsors:
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| Workforce dynamics in an AI-assisted world | 01 Aug 2025 | 00:44:06 | |
We unpack how AI is reshaping hiring decisions, shifting job roles, and creating new expectations for professionals — from engineers to marketers. They explore the rise of AI-assisted teams, the growing compensation bubble, why continuous learning is now table stakes, and how some service providers are quietly riding the AI wave. Featuring: Sponsors:
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| Reimagining actuarial science with AI | 25 Jul 2025 | 00:40:59 | |
In this episode, Chris sits down with Igor Nikitin, CEO and co-founder of Nice Technologies, to explore how AI and modern engineering practices are transforming the actuarial field and setting the stage for the future of actuarial modeling. We discuss the introduction of programming into insurance pricing workflows, and how their Python-based calc engine, AI copilots, and DevOps-inspired workflows are enabling actuaries to collaborate more effectively across teams while accelerating innovation. Featuring: Links: Sponsors:
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